Jerzy Wieczorek

Statistician Jerzy Wieczorek works primarily on statistical methods. He is most interested in adapting methods in computational statistics and machine learning to be used safely and reliably with complex data sets. This innovative methodological work has already had a significant impact on the work of other statisticians. In addition, he has done research on data visualization and statistical education.

Wieczorek has also collaborated on several applied projects with subject-matter experts, addressing problems of social importance. For example, he analyzed survey data about post-conflict trauma in the Democratic Republic of the Congo used as evidence in international war crimes trials, and he helped local physicians design a clinical trial to study Mainers affected by PFAS chemicals. He has published seven papers, four as lead author, in top-tier statistical and applied science journals, and he has authored and shared three “R” packages, allowing other scholars to use tools he developed in their own work. Wieczorek served on the McVey Data Science Committee and Goldfarb Center Advisory Committee.

Wieczorek came to Colby in 2018 after completing a Ph.D. in statistics at Carnegie Mellon University, an M.S. in statistics at Portland State University, and a B.S. in engineering from the Olin College of Engineering.